Case Study
View Case StudyTray.ai
Migrating hundreds of thousands of pages, re-platforming and extending for the leading composable AI integration platform
From Magnolia to Kontent.ai
We are the Magnolia to Kontent.ai migration experts
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Challenges with Magnolia
Key pain points
Magnolia is the definition of “enterprise for the sake of enterprise.” The setup is heavy, the learning curve is brutal, and unless you have a Java team lying around, good luck getting anything done without burning through budget. The proprietary modules lock you in fast, integrations feel like a maze, and the admin interface slows to a crawl once you start dealing with real content volume. The pricing is expensive, opaque, and somehow still manages to feel bad value. If you're not a Fortune 500 with a tolerance for pain, it’s a project risk.
And honestly, who even uses Java anymore?
Steep Java learning curve
Magnolia expects your team to be fluent in Java and its ecosystem, which slows onboarding and makes even simple tasks feel heavier than they should.
Resource-intensive setup
It demands serious infrastructure and long setup cycles, which immediately rules it out for teams that expect fast iteration or modern DevOps workflows.
Vendor lock-in concerns
Once you're in, you're in. Magnolia’s proprietary modules make moving away painful, expensive, and often not worth the engineering time.
Complex third-party integration
Connecting Magnolia with modern tools and APIs isn’t straightforward, usually requiring custom Java work instead of simple plug-and-play integrations.
Native subscription support
Licensing is firmly enterprise-tier, with opaque pricing and steep annual fees that can balloon quickly, a bad fit unless you're Fortune 500.
Proprietary module reliance
Key features live behind Magnolia’s own tightly controlled modules, limiting flexibility and forcing teams to work the “Magnolia way” instead of choosing best-in-class tools.
Benefits of Kontent.ai
Key advantages
Calling your CMS “Kontent dot ai” is a brilliant way to convince people you’ve built an AI-powered future. And to be fair, the platform does have a clean editor, strong workflow tools, and a respectable multi-channel setup.
It's perfect for the kind of company that has more infosec members than it does have devs. But calling yourself an AI platform doesn’t mean you’re built like one.
Real AI-driven CMS platforms start at the foundation with structured content, flexible modeling, real-time indexing, and an architecture that doesn’t panic the moment you try something complex. Sanity doesn’t even market itself as “AI-first,” but it’s been ahead of the curve for years. They shipped an embedding index before “AI CMS” was a pitch deck buzzword. We even built one of the first AI search tools on top of it.
So yes, Kontent.ai is great. If you want a polished interface and enterprise workflows, go for it. And if you’re dead-set on building your website there, talk to us first. We’ll walk you through it and maybe even find a better way before you spend six months discovering the limits yourself.
Intuitive content management
You shouldn’t need a week of onboarding to publish a paragraph. Kontent.ai nails this with a clean interface that doesn’t punish you for being a marketer instead of a developer.
Flexible content modeling
Build content the way your brain works. Modular, structured, reusable. No dev intervention every time marketing decides “we need one more field.”
Strong API-first architecture
The APIs are predictable, well-documented, and don’t require wild workarounds. Everything connects the way it should and developers stay happy too.
Tech stack integration
React, Vue, Angular, or whatever framework you’re obsessed with this week, Kontent.ai plays nice with all of them and keeps deployments smooth.
Advanced image transformations
You can resize, crop, and optimize visuals without leaving the CMS. Think of it as an in-house designer that doesn’t complain about aspect ratios.
Real-time collaboration
Writers, editors, and developers can work together without stepping on each other’s commits. Instant updates, fewer Slack messages, and zero “who overwrote my draft?” moments.
Common questions
Magnolia to Kontent.ai migration FAQs
Answers to the most common questions about Magnolia to Kontent.ai migration
How long does it take to migrate away from Magnolia CMS?
Magnolia migrations are among the most involved we handle. The Java-based architecture, proprietary modules, and tightly coupled workflows mean there's no quick extract-and-import path. Content needs to be exported from Magnolia's JCR (Java Content Repository), transformed, and loaded into your target platform. For a mid-sized enterprise site with 1,000 to 5,000 pages, expect 8 to 16 weeks. The timeline depends heavily on how many proprietary modules your team has adopted and how complex your multi-site setup is.
Why do companies leave Magnolia?
Cost and agility are the two main drivers. Magnolia's enterprise licensing is opaque and expensive, with annual fees that balloon as you add modules and environments. Teams also get frustrated by the Java dependency. Finding and retaining Java CMS developers is harder and more expensive every year, especially when modern headless platforms let teams build with JavaScript and TypeScript instead. The vendor lock-in from proprietary modules makes the decision feel overdue by the time teams finally commit to migrating.
Can we migrate from Magnolia to a headless CMS without losing our multi-site setup?
Yes, but the approach changes. Magnolia handles multi-site through its own orchestration layer, while headless platforms like Sanity use workspace configurations or project-level separation. We rebuild multi-site architectures using the target CMS's native multi-tenancy features. The content migration itself is the simpler part. The harder work is re-implementing your personalisation rules, approval workflows, and permission structures outside of Magnolia's proprietary ecosystem.
How much does Kontent.ai cost?
Kontent.ai hides pricing behind a "book a demo" wall, which is never a good sign for budget planning. Based on what we've seen across client engagements, the Developer plan is free but extremely limited (1 user, 2 languages). The Scale plan starts around $1,249/month (billed annually), and Enterprise pricing goes higher depending on API usage, content items, and seats. The real cost is in implementation. Kontent.ai requires upfront developer time to set up content models, build a custom preview pipeline (there's no native live preview), and configure workflows. Budget 4-8 weeks of developer time for initial setup on top of the subscription cost.
Is Kontent.ai worth it compared to other enterprise headless CMS platforms?
Kontent.ai does enterprise content workflows well. The role-based permissions, multi-step approvals, and content scheduling are polished. The API is predictable and well-documented. Where it falls short is flexibility. The content modelling tools are competent but not as powerful as Sanity's, and the lack of a native preview system means your team needs to build and maintain custom preview infrastructure. At similar price points, Contentful offers a larger ecosystem and Sanity offers deeper customisation. We'd recommend Kontent.ai primarily for teams already invested in the Kentico ecosystem or organisations where workflow governance is the top priority over developer experience.
What happens to image URLs when you replace assets in Kontent.ai?
This is a genuine pain point. Every time you replace an image or file in Kontent.ai, the platform generates a completely new URL. That means any hardcoded references, cached versions, or external links to the old asset break instantly. For content teams publishing at scale, this creates a maintenance burden. You need to update every place the old URL was referenced, or accept broken images. Most CMS platforms handle asset replacement by keeping the same URL and invalidating the cache. Kontent.ai's approach feels like an oversight that hasn't been fixed. If you're managing hundreds of assets, this adds real friction to daily editorial work.
What's involved in migrating away from Kontent.ai?
The content extraction itself is clean. Kontent.ai's Delivery API and Management API let you pull content items and assets programmatically. The challenges are schema translation and workflow replication. Kontent.ai's content types map to their own structure, and converting those to another CMS's schema requires careful field-by-field mapping, especially for linked items and modular content. If you've built custom workflow states and approval chains, those need to be recreated in the target platform. Plan for 6-10 weeks depending on the number of content types, locales, and workflow complexity. The API rate limit of 100 requests per second can also slow down bulk exports for large content libraries.
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